Using Python for data analysis
Challenge No. 143: Groups the sales values every week starting from Friday days starting from 1/1/2024.
Solved using:Excel (GROUPBY, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Date.WeekOfYear, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 142: The Question table contains information about the fingerprinting times for various personnel when entering the company.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (Table.AddColumn, Table.Group, Table.Pivot), Python, Python in Excel, and R.
Challenge No. 141: For each blank cell, replace the null value with the value from the row above that has the same ID.
Solved using:Excel (FILTER, HSTACK, IF), Google Sheets, Power Query (Table.Group), Python, Python in Excel, and R.
Challenge No. 140: For each customer, extract the ten consecutive days with the highest purchases.
Solved using:Excel (FILTER, HSTACK, IFS), Google Sheets, Power Query (Table.AddColumn, Table.Group), Python in Excel, and R.
Challenge No. 139: The stock prices for the given dates are provided in the table.
Solved using:Excel (VSTACK), Google Sheets, Power Query (Table.Group, List.Combine, List.Transform), Python, and Python in Excel.
Challenge No. 138: Based on the “transactions” table, summarize the sales for each month by breaking them into three periods:
P1: First 10 days of the month
P2: From the 11th to the 20th
P3: From the 21st onward.
Solved using:Excel (DAY, DROP, HSTACK), Google Sheets, Power Query (Date.Month, List.Distinct, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 136: Split the ID values where a character is repeated consecutively.
Solved using:Excel (CONCAT, DROP, IF), Google Sheets, Power Query (List.Transform, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 135: Find the number of occurrences of the “+-+” pattern across the test IDs for each product.
Solved using:Excel (BYROW, CONCAT, DROP), Google Sheets, Power Query (List.Range, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 134: From the “transactions” in the provided table, filter those that occurred in the last 7 days of the month.
Solved using:Excel (CHOOSECOLS, DAY, EOMONTH), Google Sheets, Power Query (Table.AddColumn, Table.SelectRows), Python, Python in Excel, R, and SQL.
Challenge No. 133: Group the monthly sales values into three categories based on the following logic and provide one of the result tables:
Group 1: 1st to 10th of the month
Group 2: 11th to 20th of the month
Group 3: 21st to the end of the month.
Solved using:Excel (DATE, DAY, DROP), Google Sheets, Power Query (Table.Group, Date.Month, Table.AddColumn), Python, Python in Excel, and R.
